MLS Real Estate Data

in

United States

Data Samples

Description

MLS Data – United States

Techsalerator’s MLS Data for the United States aggregates comprehensive residential real estate listings across major metropolitan areas, suburban housing markets, and rapidly growing regional markets. This dataset provides detailed information on active property listings, pricing trends, property characteristics, listing history, and geographic location data. By leveraging structured MLS listing information and publicly available property insights, businesses can better understand U.S. housing market dynamics, track supply trends, and analyze regional real estate performance.

Top 5 Most Utilized Data Fields

Listing Price: Current property listing price reflecting market conditions and seller expectations.

Property Type: Classification such as single-family home, condominium, townhouse, or multi-family property.

Square Footage: Total interior living space used for valuation and price-per-square-foot analysis.

Bedrooms & Bathrooms: Core property attributes that influence buyer demand and property valuation.

Location Coordinates: Precise geographic positioning enabling mapping, regional analysis, and spatial market insights.

Top 5 Use Cases for MLS Data in the United States

Real Estate Market Analysis: Track property supply, pricing trends, and inventory levels across cities and states.

Investment Opportunity Identification: Identify undervalued markets and emerging housing demand areas.

Property Valuation Models: Support automated valuation models (AVMs) using listing and property attributes.

Competitive Listing Monitoring: Analyze pricing strategies and listing performance across comparable properties.

Urban Development & Housing Research: Evaluate housing availability, density, and market growth patterns.

Top 5 Locations with Notable MLS Data Trends in the United States

New York City: High-density urban housing market with strong demand for apartments and condominiums.

Los Angeles: Diverse property types and strong real estate investment activity.

Miami: Rapid housing growth driven by domestic migration and international buyers.

Dallas: Expanding suburban housing developments and population growth.

Phoenix: One of the fastest-growing housing markets with strong inventory turnover.

Accessing Techsalerator’s MLS Data

To obtain Techsalerator’s MLS Data for the United States, contact info@techsalerator.com with your requirements. Customized quotes are available based on dataset size, geographic coverage, data fields, and update frequency. Data delivery is available within 24 hours for continuous housing market monitoring.

Included Data Fields

Listing ID
Property Type
Listing Price
Square Footage
Bedrooms
Bathrooms
Lot Size
Year Built
Listing Status
Days on Market
Location Coordinates
City
State
Zip Code

MLS Data for the United States – FAQs

Q: How much does the dataset cost?
Pricing depends on dataset volume, geographic coverage, selected data fields, and update frequency.

Q: How complete is the coverage?
Coverage includes approximately 730,000 active MLS listings across major metropolitan areas, suburban housing markets, and regional real estate markets throughout the United States.

Q: How is the data collected?
The data is aggregated from publicly available real estate listings and structured property listing sources, ensuring comprehensive and up-to-date market coverage.

Q: Can I filter by city or region?
Yes. Filtering is available by city, state, zip code, property type, listing price range, and other property attributes.

Q: How is the data delivered?
Delivery is available via FTP, SFTP, Amazon S3, or email in JSON, CSV, TXT, or XLS formats.

Pricing

Commercial Models

Availability

One-off purchase
Available
Data subscription (Monthly Updates)  
Available
Data subscription (Quarterly Updates)  
Available
Data subscription (Annual Updates)  
Available

Suitable Company Sizes

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Small Business
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Medium-sizedBusiness
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Enterprise

Quality

99%
Data Coverage
95%
Accuracy

Delivery

 Methods
v
SFTP
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Email
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FeedAPI
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S3 Bucket
 Format
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.json
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.csv
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.xls
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.txt
Pricing available upon request

Most popular fields